Deep dives, practical guides, and incident analyses from engineers who build Safeguard. No fluff, no vendor FUD — just what you need to ship secure software.
OWASP LLM03 covers models, datasets, adapters and packages. See which controls give real assurance and which, like model cards and benchmarks, fall short.
LLM03 covers risks in models, datasets, adapters and packages. A checklist for engineering leads built on OWASP's mitigation list, with defensive steps.
Log prompts, retrieved sources and filter hits for LLM02, then alert on sensitive patterns in outputs, odd retrieval and repeat probing. A defensive guide.
LLM02 is when a model or its app reveals PII, secrets or business data. See OWASP's scenarios, a real world reference and the defensive controls to apply.
LLMs can reveal PII, credentials and business data through outputs and apps around them. Use OWASP's controls: sanitize, limit access, redact, set policy.
OWASP's prompt injection page names no compliance frameworks. See how it lines up with NIST AI 600-1, EU AI Act Article 15 and MITRE ATLAS, and the limits.
OWASP says no prevention is fool-proof, so limit impact: constrain the model, validate output, least privilege, human approval, testing. A lead checklist.
An agent that can act on equipment is a new actor with credentials and tools. Treat its output as untrusted, limit permissions, keep humans on risky steps.
Map the NIST AI RMF functions Govern, Map, Measure and Manage to supply chain controls: inventories, provenance, scanning and response. A working map.
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